Remote Data Architect

The Company

At Servant Digital, we specialize in empowering leaders and organizations within faith communities through innovative digital transformation and change management solutions. We are committed to providing tailored strategies that align with our clients’ values and missions, focusing on service, integrity, and excellence. Our team is passionate about making a meaningful impact by equipping our partners with the tools and technologies they need to thrive in a rapidly evolving digital landscape. Join us in our mission!

The Role

As Data Architect you will play a critical role in shaping and supporting the strategic direction of our data initiatives. As a Data Architect, you will work closely with the Data Team to evaluate data tools, identify potential gaps in proposed data programs, and estimate the costs and total cost of ownership (TCO) for solutions. This role demands a deep understanding of data architecture principles, best practices in data management, and hands-on experience in selecting, deploying, and optimizing data technologies.

Responsibilities:

Data Tools & Technologies: Collaborate with the Data Strategist to assess and recommend tools for data storage, integration, processing, and analysis. Ensure that selected tools align with both technical requirements and business objectives.

Gap Analysis: Conduct thorough reviews of proposed data architectures to identify any gaps or areas of improvement. Ensure that all aspects of the data ecosystem, from storage to security, are addressed comprehensively.

Cost Estimation & TCO: Help estimate the costs associated with implementing and maintaining data solutions, including licensing, infrastructure, operational expenses, and staffing needs. Provide a holistic view of the total cost of ownership (TCO) for proposed systems.

Data Architecture Design: Develop robust, scalable, and secure data architecture that supports current business needs and is adaptable for future growth. Incorporate best practices in data governance, security, and compliance.

Tool and System Integration: Ensure that all data tools and systems integrate seamlessly with existing infrastructure and align with organizational goals. Oversee the implementation process to confirm that integration meets performance and security standards.

Data Flow Optimization: Design and optimize the flow of data within the organization to ensure efficient processing, minimizing redundancy, and improving accessibility for various stakeholders. Strong understanding of data pipelines, microservices, and APIs, and data streaming at scale.

Security & Compliance: Ensure data architectures comply with regulatory standards and maintain high levels of data security. Implement measures to protect sensitive information and ensure alignment with organizational data governance policies.

Stakeholder Collaboration: Work closely with various teams (Marketing, Product, Operations, IT, Business Intelligence) to align technical solutions with strategic business goals. Act as a key point of contact for data architecture-related inquiries and decision-making processes.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Science, or related field.
• 5+ years of experience in data architecture, data management, or data engineering.
• Proven expertise in designing and implementing large-scale data systems and architectures.
• Strong understanding of data modeling, data warehouse best practices, ETL processes, and cloud-based data products.
• Experience with data governance frameworks, security protocols, and compliance standards.
• Ability to perform cost-benefit analysis and provide TCO estimates for data solutions.
• Hands-on experience with data integration tools, servicing sales, marketing, financial, and software application teams.
• Excellent communication and collaboration skills to work with technical and non-technical stakeholders.
• Experience in working within a strategic capacity alongside data leaders, such as a Data Strategist or Chief Data Officer.
• Familiarity with emerging data trends, including big data, machine learning, and AI.
• Knowledge of modern data architectures, such as data lakes, data mesh, or distributed data systems.
• Experience working remotely.
• Prior consulting experience preferred.

At Servant, we believe in the power of diversity and inclusion. We are an equal opportunity employer and encourage individuals from all backgrounds to apply.